| Scaling for edge inference of deep neural networks X Xu, Y Ding, SX Hu, M Niemier, J Cong, Y Hu, Y Shi Nature Electronics 1 (4), 216-222, 2018 | 397 | 2018 |
| Revisiting the evaluation of uncertainty estimation and its application to explore model complexity-uncertainty trade-off Y Ding, J Liu, J Xiong, Y Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 73* | 2020 |
| On the universal approximability and complexity bounds of quantized relu neural networks Y Ding, J Liu, J Xiong, Y Shi arXiv preprint arXiv:1802.03646, 2018 | 36 | 2018 |
| Uncertainty-aware training of neural networks for selective medical image segmentation Y Ding, J Liu, X Xu, M Huang, J Zhuang, J Xiong, Y Shi Medical Imaging with Deep Learning, 156-173, 2020 | 28 | 2020 |
| Model-mediated teleoperation with improved stability J Song, Y Ding, Z Shang, J Liang International Journal of Advanced Robotic Systems 15 (2), 1729881418761136, 2018 | 16 | 2018 |
| Hardware design and the competency awareness of a neural network Y Ding, W Jiang, Q Lou, J Liu, J Xiong, XS Hu, X Xu, Y Shi Nature Electronics 3 (9), 514-523, 2020 | 14 | 2020 |
| Generative adversarial network based scalable on-chip noise sensor placement J Liu, Y Ding, J Yang, U Schlichtmann, Y Shi 2017 30th IEEE International System-on-Chip Conference (SOCC), 239-242, 2017 | 12 | 2017 |
| Optimizing boiler control in real-time with machine learning for sustainability Y Ding, J Liu, J Xiong, M Jiang, Y Shi Proceedings of the 27th ACM International Conference on Information and …, 2018 | 11 | 2018 |
| Segmentation with multiple acceptable annotations: A case study of myocardial segmentation in contrast echocardiography D Zeng, M Li, Y Ding, X Xu, Q Xie, R Xu, H Fei, M Huang, J Zhuang, Y Shi Information Processing in Medical Imaging: 27th International Conference …, 2021 | 8 | 2021 |
| Multi-cycle-consistent adversarial networks for ct image denoising J Liu, Y Ding, J Xiong, Q Jia, M Huang, J Zhuang, B Xie, CC Liu, Y Shi 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 614-618, 2020 | 4 | 2020 |
| Real-time boiler control optimization with machine learning Y Ding, Y Shi arXiv preprint arXiv:1903.04958, 2019 | 4 | 2019 |
| Binarizing weights wisely for edge intelligence: Guide for partial binarization of deconvolution-based generators J Liu, J Zhang, Y Ding, X Xu, M Jiang, Y Shi IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 3 | 2020 |
| Towards efficient human-machine collaboration: real-time correction effort prediction for ultrasound data acquisition Y Ding, D Zeng, M Li, H Fei, H Yuan, M Huang, J Zhuang, Y Shi Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 2 | 2021 |
| PBGen: Partial binarization of deconvolution-based generators for edge intelligence J Liu, J Zhang, Y Ding, X Xu, M Jiang, Y Shi arXiv preprint arXiv:1802.09153, 2018 | 2 | 2018 |
| Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography D Zeng, Y Ding, H Yuan, M Huang, X Xu, J Zhuang, J Hu, Y Shi 2021 58th ACM/IEEE Design Automation Conference (DAC), 1339-1342, 2021 | 1 | 2021 |
| Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images X Xu, J Zhang, J Liu, Y Ding, T Wang, H Qiu, H Yuan, J Zhuang, W Xie, ... ACM Journal on Emerging Technologies in Computing Systems (JETC) 17 (4), 1-16, 2021 | | 2021 |
| On the Universal Approximability and Complexity Bounds of Deep Learning in Hybrid Quantum-Classical Computing W Jiang, Y Ding, Y Shi | | 2020 |
Yiyu ShiUniversity of Notre DameVerified email at nd.edu
